- Complex Network Analysis Techniques
- Network Traffic and Congestion Control
- Quantum chaos and dynamical systems
- Opinion Dynamics and Social Influence
- Theoretical and Computational Physics
- Human Mobility and Location-Based Analysis
- Peer-to-Peer Network Technologies
- Complex Systems and Time Series Analysis
- Nonlinear Dynamics and Pattern Formation
- Advanced Optical Network Technologies
- Spectroscopy and Quantum Chemical Studies
- Molecular Junctions and Nanostructures
- Stochastic processes and statistical mechanics
- Electrochemical Analysis and Applications
- Software-Defined Networks and 5G
- Advanced Wireless Network Optimization
- Cold Atom Physics and Bose-Einstein Condensates
- Blockchain Technology Applications and Security
- Quantum Mechanics and Non-Hermitian Physics
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Origins and Evolution of Life
- Internet Traffic Analysis and Secure E-voting
- Data Management and Algorithms
- Chaos control and synchronization
Eötvös Loránd University
2015-2024
Semmelweis University
2016
Collegium Budapest
2005-2008
Budapest Institute
2006
Ericsson (Hungary)
2002
Columbia University
2000
Institute for Solid State Physics and Optics
1994-1997
Institut de Physique
1996
University of Copenhagen
1993
Forschungszentrum Jülich
1991
The possibility to analyze everyday monetary transactions is limited by the scarcity of available data, as this kind information usually considered highly sensitive. Present econophysics models are employed on presumed random networks interacting agents, and only macroscopic properties (e.g. resulting wealth distribution) compared real-world data. In paper, we BitCoin, which a novel digital currency system, where complete list publicly available. Using dataset, reconstruct network...
The localization of Internet hosts opens space for a wide scope applications, from targeted, location aware content provision to localizing illegal content. In this paper we present novel probabilistic approach, called Spotter, estimating the geographic position devices with remarkable precision. While existing methods use landmark specific calibration building their internal models show that delay-distance data follow generic distribution each landmark. Hence, instead describing in manner...
A main focus in economics research is understanding the time series of prices goods and assets. While statistical models using only properties itself have been successful many aspects, we expect to gain a better phenomena involved if can model underlying system interacting agents. In this article, consider history Bitcoin, novel digital currency system, for which complete list transactions available analysis. Using dataset, reconstruct transaction network between users analyze changes...
An extension of the Gutzwiller trace formula is given that includes diffraction effects due to hard wall scatterers or other singularities. The new involves periodic orbits which have arcs on surface singularity and correspond creeping waves. A family resonances in two-disk scattering system can be well described completely missing if only traditional are used.
Our bloodstream is considered to be an environment well separated from the outside world and digestive tract. According standard paradigm large macromolecules consumed with food cannot pass directly circulatory system. During digestion proteins DNA are thought degraded into small constituents, amino acids nucleic acids, respectively, then absorbed by a complex active process distributed various parts of body through circulation Here, based on analysis over 1000 human samples four independent...
We give a new explanation for why some biological systems can stay quantum coherent long time at room temperature, one of the fundamental puzzles biology. show that with right level complexity between chaos and regularity increase their coherence by orders magnitude. Systems near Critical Quantum Chaos or Metal-Insulator Transition (MIT) have times transport same time. The theory tested in realistic light harvesting system model reproduce scaling critical fluctuations reported recent...
This paper analyzes how TCP congestion control can propagate self-similarity between distant areas of the Internet. property is due to its algorithm, which adapts self-similar fluctuations on several timescales. The mechanisms and limitations this propagation are investigated, it demonstrated that if a connection shares bottleneck link with background traffic flow, propagates correlation structure flow above characteristic timescale. cut-off timescale depends end-to-end path properties,...
We propose public-key encryption algorithms based on chaotic maps, which are generalization of well-known and commercially used algorithms: Rivest-Shamir-Adleman (RSA), ElGamal, Rabin. For the case generalized RSA algorithm we discuss in detail its software implementation properties. show that our is as secure algorithm.
Why life persists at the edge of chaos is a question very heart evolution. Here we show that molecules taking part in biochemical processes from small to proteins are critical quantum mechanically. Electronic Hamiltonians biomolecules tuned exactly point metal-insulator transition separating Anderson localized insulator phase conducting disordered metal phase. Using tools Random Matrix Theory confirm energy level statistics these universal transitional distribution and wave functions...
Bitcoin is a digital currency and electronic payment system operating over peer-to-peer network on the Internet. One of its most important properties high level anonymity it provides for users. The users are identified by their addresses, which random strings in public records transactions, blockchain. When user initiates Bitcoin-transaction, his client program relays messages to other clients through network. Monitoring propagation these analyzing them carefully reveal hidden relations. In...
Proteins are insulating molecular solids, yet even those containing easily reduced or oxidized centers can have single-molecule electronic conductances that too large to account for with conventional transport theories. Here, we report the observation of remarkably high conductance states in an electrochemically-inactive protein, ~200 kD αVβ3 extracelluar domain human integrin. Large current pulses (up nA) were observed long durations (many ms, corresponding many pC charge transfer) at gap...
During the COVID-19 outbreak, it is essential to monitor effectiveness of measures taken by governments on course epidemic. Here we show that there already a sufficient amount data collected in Italy predict outcome process. We using proper metric, from Hubei Province and has striking similarity, which enables us calculate expected number confirmed cases deaths end Our predictions will improve as new points are generated day day, can help make further public decisions. The method based...
We analyze gene coexpression network under the random matrix theory framework. The nearest-neighbor spacing distribution of adjacency this follows Gaussian orthogonal statistics (RMT). Spectral rigidity test prediction for a certain range and deviates afterwards. Eigenvector analysis using inverse participation ratio suggests that bulk eigenvalues is consistent with those real symmetric matrix, whereas few are localized. Based on these IPR calculations, we can divide in three sets: (a)...
The relativistic generalization of the standard map is introduced, based on problem particle acceleration in electric field an electrostatic wave packet. It shown that diffusion is, general, less effective than for nonrelativistic particles. In ultrarelativistic case chaotic motion appears form intermittency.
Human interaction networks inferred from country-wide telephone activity recordings were recently used to redraw political maps by projecting their topological partitions into geographical space. The results showed remarkable spatial cohesiveness of the network communities and a significant overlap between redrawn administrative borders. Here we present similar analysis based on one most popular online social represented ties more than 5.8 million its geo-located users. worldwide coverage...
The present paper introduces ad hoc communication networks as examples of large scale real that can be prospected by statistical means. A description giant cluster formation based on a single parameter node neighbor numbers is given along with the discussion some asymptotic aspects sizes.
We explain the anomaly of election results between large cities and rural areas in terms urban scaling 1948-2016 US elections 2016 EU referendum UK. The curves are all universal depend on a single parameter only, one parties always shows superlinear drives process, while sublinear exponent other party is merely consequence probability conservation. Based recently developed model scaling, we give microscopic voter behavior which replace diversity characterizing humans creative aspects with...
Abstract Recently, numerous approaches have emerged in the social sciences to exploit opportunities made possible by vast amounts of data generated online networks (OSNs). Having access information about users on such a scale opens up range possibilities—from predicting individuals’ demographics and health status their beliefs political opinions—all without limitations associated with often slow expensive paper-based polls. A question that remains be satisfactorily addressed, however, is how...
In the absence of other tools, monitoring effects protective measures, including social distancing and forecasting outcome outbreaks is immense interest. Real-time data noisy very often hampered by systematic errors in reporting. Detailed epidemic models may contain a large number empirical parameters, which cannot be determined with sufficient accuracy. this paper, we show that cumulative deaths can regarded as master variable, parameters such basic reproduction number, size susceptible...
We show that the daily average air humidity fluctuations exhibit nontrivial 1/${\mathit{f}}^{\mathrm{\ensuremath{\alpha}}}$ behavior which is different from spectral properties of other meteorological quantities. This feature and fractal spatial structure found in clouds make plausible to regard as a manifestation self-organized criticality. give arguments why dynamics can be similar those sandpile models
The European Traffic Observatory is a Union VI Framework Program sponsored effort, within the Integrated Project EVERGROW, that aims at providing paneuropean traffic measurement infrastructure with high-precision, GPS-synchronized monitoring nodes. This paper describes system and node architectures, together management system. On other hand, we also present testing platform currently being used for ETOMIC nodes before actual deployment.
We study the level spacing distribution p(s) in spectrum of random networks. According to our numerical results, shape Erds–Rényi (E–R) graph is determined by average degree ⟨k⟩ and undergoes a dramatic change when varied around critical point percolation transition, = 1. When ≫ 1, described statistics Gaussian orthogonal ensemble (GOE), one major statistical ensembles Random Matrix Theory, whereas at 1 it follows Poisson distribution. Closely above point, can be terms an intermediate...
We study traffic dynamics in growing scale-free networks. Both the structure of network and adaptive nature which controls are considered model. The model is investigated with computer simulations analytically for case a tree. For tree, an exact formula its power law approximation complementary cumulative distribution function link load (edge betweenness) presented. examine whether scaling properties affect performance transport mechanism estimate average number competing mechanisms at...